{"id":"W3004786917","doi":"10.3390/su12031165","title":"Optimization of Container Terminal Layouts in the Seaport—Case of Port of Montreal","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Port (circuit theory); Greenhouse gas; Container (type theory); Supply chain; Transport engineering; Sustainability; Terminal (telecommunication); Constraint (computer-aided design); Engineering; Operations research; Business; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002972,0.00007065469,0.0001995464,0.00002685058,0.000007964033,0.000002471252,0.00008052544,0.00004440799,0.0000590911],"category_scores_gemma":[0.0003591983,0.00005470603,0.00004410775,0.0001542028,0.00008988097,0.00003663266,0.00002179837,0.00007868982,4.089185e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003697896,"about_ca_system_score_gemma":0.00007148353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165908,"about_ca_topic_score_gemma":0.0001034683,"domain_scores_codex":[0.9993069,0.00003562004,0.0003726786,0.00008528748,0.00009420324,0.0001053191],"domain_scores_gemma":[0.9994183,0.00005898043,0.00006971556,0.000183623,0.0002403708,0.00002901914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007992901,0.0001647169,0.1166043,0.002090617,0.00001971618,0.0007442518,0.004462522,0.8693078,0.00001634903,0.001521176,0.0003010301,0.004687657],"study_design_scores_gemma":[0.001129679,0.0003957822,0.1816541,0.00002788146,0.0001026018,0.0001114904,0.01100337,0.8019763,0.0006793413,0.002257184,0.0003753126,0.0002869259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851548,0.00006489189,0.009747532,0.0003291813,0.00002537759,0.00043829,0.00005021578,0.00002538239,0.004164315],"genre_scores_gemma":[0.9996331,0.000003386286,0.0002973907,0.0000142432,0.00001437988,0.000005468478,0.00001203438,0.000006124714,0.00001390465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06733143,"threshold_uncertainty_score":0.2230847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00920209202802102,"score_gpt":0.231181812941023,"score_spread":0.221979720913002,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}